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Age of Azure Machine Learning Revolution Pablo Maceiras @P_maceiras.NET Conf UY v2015
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Age of Azure Machine Learning Revolution Pablo Maceiras @P_maceiras.NET Conf UY v2015
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Agenda
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Banking!
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Desafío de Marketing de Gestión de Campañas Omni- canal
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Omni- Virtual Customer Profile
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Challenges of applying ML Concept Confusion BI Data Mining Machine Learning Pattern Matching Big Data Analytics Etc. ML algorithm selection Context set up Etc.
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Evolve: Part I - Data Data Factory Data Catalog Event Hubs
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Data Factory Zoom-In
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Evolve: Part II – Big Data Azure SQL Data Warehouse Azure Data Lake
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Evolve: Part III – ML on Data See (Face) Hear (Speech) Read (Text)
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Evolve: Part IV – Analyze and Predict Machine Learning HDInsight (Hadoop) Azure Stream Analytics
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Evolve: Part IV – Visualize & Act Cortana Dashboards / Power BI Business Scenarios
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Evolve: Final – Cortana Analytics
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Cortana Analytics Predict Prescribe Recommendations Alerts Automate
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Real Case Product
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IC Campaigns – Segmentation Approaches + Rule Matching + A/B Testing + Machine Learning
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IC Campaigns – Challenges + Hide model selection from user? + Hide parameters from user? + Clean and set up data?
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What is the Infinity Gauntlet then? Good Data Interpret and analyze results Reliability / failure tolerance Cost Timing
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The Dream
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Age of Azure Machine Learning Revolution Pablo Maceiras @P_maceiras.NET Conf UY v2015
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